AI engineer
Tasks
- Build ML pipelines
- Deploy ML via microservices
- Design LLM applications
- Develop and deploy LLM solutions
- Ensure data privacy compliance
- Ensure responsible AI bias mitigation
- Fine-tune LLMs
- Implement Retrieval-Augmented Generation (RAG)
- Integrate LLMs via REST APIs
- Monitor model performance
- Optimize accuracy latency and cost
- Prompt engineer LLMs
- Train, evaluate, and deploy models
- Use vector databases and embeddings
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Data Privacy | Docker | Embeddings | Faiss | GCP | Hugging Face | Hugging Face Transformers | Human Feedback | JAX | Kubernetes | LLM | Langchain | Learning from Human Feedback | MLOps | Machine Learning | Machine Learning Pipelines | Microservices | Model Alignment | Model Monitoring | NLP | Pinecone | PyTorch | Python | REST APIs | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | TensorFlow | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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